• DocumentCode
    3362136
  • Title

    The Research of Power System Operation Risk Assessment Modeling Based on Cloud Models

  • Author

    Xie, Hong-Ling ; Wen, Xiu-feng ; Li, Yan-qing ; Xie, Qing ; Li, Lin

  • Author_Institution
    Electr. Power Dept., North China Electr. Power Univ., Bao Ding
  • fYear
    2009
  • fDate
    27-31 March 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Because there are lots of random and fuzzy uncertainty factors in power system, the certainty model used to be adopted in reliability research were not reasonable. But cloud models theory is a powerful tool to convert numerical quantitative analysis to conceptual qualitative analysis. In this paper on the basis of introduction of cloud models, the parameter and load cloud models in actual operation of power system is proposed and established to solve the uncertainty of the value FOR and the changing of load. And base the model takes the risk assessment by used the RBTS reliability test system and come out the risk indexes represented by cloud model. The result show that system actual operation condition based cloud models suit the Scene actual.
  • Keywords
    fuzzy set theory; power system reliability; power system simulation; risk management; uncertain systems; RBTS reliability test system; cloud model; conceptual qualitative analysis; fuzzy uncertainty factor; numerical quantitative analysis; power system operation; random factors; risk assessment modeling; Clouds; Fuzzy systems; Layout; Load modeling; Power system analysis computing; Power system modeling; Power system reliability; Risk management; System testing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2486-3
  • Electronic_ISBN
    978-1-4244-2487-0
  • Type

    conf

  • DOI
    10.1109/APPEEC.2009.4918903
  • Filename
    4918903